OCRE: started the funding opportunities for the European research community for using OCRE’s procured Cloud and Earth Observation commercial services.

2021 ◽  
Author(s):  
José Manuel Delgado Blasco ◽  
Antonio Romeo ◽  
David Heyns ◽  
Natassa Antoniou ◽  
Rob Carrillo
Keyword(s):  
Service Discovery ◽  
Service Providers ◽  
Research Community ◽  
Earth Observation ◽  
Advisory Board ◽  
Cloud Services ◽  
European Research ◽  
Important Process ◽  
Funding Opportunities ◽  
To Receive

<p>The OCRE project, an H2020 funded by the European Commission, aims to increase the usage of Cloud and EO services by the European research community by putting available EC funds 9.5M euro, aiming to removing the barriers regarding the service discovery and providing services free-at-the-point-of-the-user.</p><p>OCRE started to grant EU research projects for using OCRE’s procured Cloud commodity and EO services through respective open calls in 2019-2020. Additionally, in 2021 additional open calls are foreseen also for projects willing to receive funds for using EO services procured by the OCRE project. Also, a permanent open call for individual researchers is foreseen.</p><p>During 2020, OCRE also funded, through another open call, EU projects dealing with research related to COVID-19 and they were the first projects that started the usage of the available commodity services. Additionally, in 2020, the OCRE project closed and awarded EU service providers for the provision of cloud and commodity services and, in early 2021, the Dynamic Purchasing System (DPS) for the procurement of EO services will be opened.</p><p>Additionally, during 2020 an External Advisory Board (EAB) was created to assist OCRE in the project awarding process. The EAB is formed by recognized experts from different domains providing OCRE with the balanced knowledge needed to ensure transparency and equality in such an important process.</p><p>This presentation will provide an overview of the possibilities offered by OCRE to researchers interested in boosting their activities using commercial cloud services.</p>

OCRE: the game changer of Cloud and EO commercial services usage by the European research community

2020 ◽  
Author(s):  
José Manuel Delgado Blasco ◽  
Antonio Romeo ◽  
David Heyns ◽  
Natassa Antoniou ◽  
Rob Carrillo
Keyword(s):  
European Commission ◽  
Service Discovery ◽  
Service Providers ◽  
Research Community ◽  
Cloud Services ◽  
European Research ◽  
Team Members ◽  
One Year ◽  
Research Organisations ◽  
Selection Of

<p>The OCRE project, a H2020 funded by the European Commission, aims to increase the usage of Cloud and EO services by the European research community by putting available EC funds 9,5M euro, aiming to removing the barriers regarding the service discovery and providing services free-at-the-point-of-the-user.</p><p>The OCRE project, after one year running, has completed the requirements gathering by the European research community and during Q1 2020 has launched the tenders for the Cloud and EO services.</p><p>In the first part of 2020, these tenders will be closed and companies will be awarded to offer the services for which requirements had been collected by the project during 2019. The selection of such services will be based on the requirements gathered during the activities carried out by OCRE in 2019, with online surveys, face2face events, interviews among others. Additionally, OCRE team members had participated in workshops and conferences with the scope of project promotion and increase the awareness of the possibilities offered by OCRE for both research and service providers community.</p><p>In 2020, consumption of the services will start, and OCRE will distribute vouchers for individual researchers and institutions via known research organisations, which will evaluate the incoming request and distribute funds from the European Commission regularly.</p><p>This presentation will provide an overview or the possibilities offered by OCRE to researchers interested in boosting their activities using commercial cloud services.</p>

scholarly journals The H2020 OCRE Project Opens the Gates of the Commercial Cloud and EO Services Usage to the Research Community

2020 ◽  
Vol 4 (2) ◽  
pp. 89-103 ◽  
Author(s):  
José Manuel Delgado Blasco ◽  
Antonio Romeo ◽  
David Heyns ◽  
Joao Fernandes ◽  
Rob Carrillo ◽  
...  
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Open Science ◽  
Research Community ◽  
Earth Observation ◽  
High Impact ◽  
European Research ◽  
Research Environments ◽  
Service Offering ◽  
Research And Education

Cloud and Earth Observation (EO) based services offer the European Research community a wealth of powerful tools. However, for many researchers these tools are currently out of reach. It is difficult to find and select suitable services. Establishing agreements with cloud and EO service providers and ensuring legal and technical compliance requires specialist skills and takes an inordinate amount of time. Equally, service providers find it difficult to reach and meet the needs of the research community in technical, financial and legal areas. The Open Clouds for Research Environments consortium (OCRE) will change this, by putting in place an easy adoption route. In the autumn of 2019, OCRE will run a pan-European tender and establish framework agreements with service providers who meet the requirements of the research community. 10.000 European research and education institutes will be able to directly consume these offerings via the European Open Science Cloud service catalogue, through ready-to-use agreements. They will not have to run a tender of their own. In addition, to stimulate usage, OCRE will make available 9.5 million euro in service credits (vouchers), through adoption funds from the European Commission. OCRE is a pioneer project without precedence, with potentially high impact in the future EO market activities and evolution of service offering, with the objective to burst the usage of EO commercial services by the research environment.

Distributed and Adaptive Service Discovery Using Preference

2010 ◽  
pp. 396-424
Author(s):  
Ryota Egashira ◽  
Akihiro Enomoto ◽  
Tatsuya Suda
Keyword(s):  
Service Discovery ◽  
Service Providers ◽  
End Users ◽  
Research Community ◽  
End User ◽  
Network Service ◽  
Preference Information ◽  
Extensive Simulation ◽  
Service Oriented Computing ◽  
Service Oriented

In Service-Oriented Computing, service providers publish their services by deploying service components which implement those services into a network. Since such services are distributed around the network, Service-Oriented Computing requires the functionality to discover the services that meet certain criteria specified by an end user. In order to overcome the scalability issue that the current centralized discovery mechanism inherently has, distributed discovery mechanisms that the P2P research community has developed may be promising alternatives. This chapter outlines existing distributed mechanisms and proposes a novel discovery mechanism that utilizes end users’ preferences. The proposed mechanism allows end users to return their feedback that describes the degree of the preference for discovered services. The returned preference information is stored at nodes and utilized to decide where to forward subsequent queries. The extensive simulation demonstrates that the proposed mechanism meets key requirements such as selectivity, efficiency and adaptability.

scholarly journals Evaluating the QoS Cognizance in Composition of Cloud Services: A Systematic Literature Review

2018 ◽  
Vol 7 (4.6) ◽  
pp. 141
Author(s):  
A V L N Sujith ◽  
Dr. A Rama Mohan Reddy ◽  
Dr. K Madhavi
Keyword(s):  
Service Composition ◽  
Service Discovery ◽  
Service Providers ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Future Research ◽  
Promising Area ◽  
Cloud Service Composition ◽  
Rapid Deployment

Enterprise level computing constantly investigates novel approaches that maximize their profits and minimize their expenses. With the rapid growth of cloud computing XaaS – ‘anything as a service’, service providers are enabled with the rapid deployment of virtual services to service requestors. Because of the enormous growth in the variety of the services and based on the demand of the virtualized resources, cloud service providers are facing tough competition to facilitate the composite service requests made by the service requestors. QoS (Quality of Service)  is considered to be a preliminary factor while composing a new cloud service out of heterogeneous and distributed atomic services. Therefore service composition is promising area that focuses on the design and development of the automated approaches to deal with diverse phases of service composition techniques that include service discovery, negotiation, service selection and optimization of the atomic services. This paper provides anatomy of  existing studies addressing the problem of cloud service composition that enable to identify intended objectives of the technique along with diverse QoS aware problem solving approaches. Furthermore, the key areas of the improvement in cloud service composition are identified for future research. 

scholarly journals Cloud Computing Services: Taxonomy of Discovery Approaches and Extraction Solutions

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1354
Author(s):  
Fathey Mohammed ◽  
Abdullah Marish Ali ◽  
Abdullah Saad Al-Malaise Al-Ghamdi ◽  
Fawaz Alsolami ◽  
Siti Mariyam Shamsuddin ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Service Discovery ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Diverse Range ◽  
Computing Services ◽  
Heterogeneous Features ◽  
Cloud Computing Services ◽  
Cloud Service Discovery

Cloud computing offers new features of sharing resources and applications to meet users’ computing requirements. It is a model by which the users can access computing resources as services offered on the Internet (cloud services). Cloud service providers offer a highly diverse range of asymmetric cloud services with heterogeneous features, which makes it difficult for the users to find the best service that fits his needs. Many research studies have been done on cloud service discovery, and several models and solutions that applied different techniques have been proposed. This paper aims at presenting the state of the art in the area of cloud services discovery by exploring the current approaches, techniques, and models. Furthermore, it proposes a taxonomy of cloud service discovery approaches. An integrative review approach was used to explore the related literature. Then, by analyzing the existing cloud service discovery solutions, a taxonomy of discovery approaches was suggested based on several perspectives including the discovery environment and the discovery process methods. The proposed taxonomy allows easily classifying and comparing cloud services discovery solutions. Moreover, it may reveal issues and gaps for further research and expose new insights for more innovative and effective cloud services discovery solutions.

scholarly journals The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities

2021 ◽  
Vol 13 (6) ◽  
pp. 1125
Author(s):  
Matthias Schramm ◽  
Edzer Pebesma ◽  
Milutin Milenković ◽  
Luca Foresta ◽  
Jeroen Dries ◽  
...  
Keyword(s):  
Data Storage ◽  
Service Providers ◽  
Storage System ◽  
Cloud Service ◽  
Application Programming Interface ◽  
Data Access ◽  
Earth Observation ◽  
Data Cube ◽  
Cloud Services ◽  
Communication Strategy

At present, accessing and processing Earth Observation (EO) data on different cloud platforms requires users to exercise distinct communication strategies as each backend platform is designed differently. The openEO API (Application Programming Interface) standardises EO-related contracts between local clients (R, Python, and JavaScript) and cloud service providers regarding data access and processing, simplifying their direct comparability. Independent of the providers’ data storage system, the API mimics the functionalities of a virtual EO raster data cube. This article introduces the communication strategy and aspects of the data cube model applied by the openEO API. Two test cases show the potential and current limitations of processing similar workflows on different cloud platforms and a comparison of the result of a locally running workflow and its openEO-dependent cloud equivalent. The outcomes demonstrate the flexibility of the openEO API in enabling complex scientific analysis of EO data collections on cloud platforms in a homogenised way.

scholarly journals A Generic Model for Identifying QoS Parameters Interrelations in Cloud Services Selection Ontology during Runtime

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 563
Author(s):  
Babu Rajendiran ◽  
Jayashree Kanniappan
Keyword(s):  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Operating Costs ◽  
Generic Model ◽  
Business Organizations ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Qos Parameters ◽  
Computer Based

Nowadays, many business organizations are operating on the cloud environment in order to diminish their operating costs and to select the best service from many cloud providers. The increasing number of Cloud Services available on the market encourages the cloud consumer to be conscious in selecting the most apt Cloud Service Provider that satisfies functionality, as well as QoS parameters. Many disciplines of computer-based applications use standardized ontology to represent information in their fields that indicate the necessity of an ontology-based representation. The proposed generic model can help service consumers to identify QoS parameters interrelations in the cloud services selection ontology during run-time, and for service providers to enhance their business by interpreting the various relations. The ontology has been developed using the intended attributes of QoS from various service providers. A generic model has been developed and it is tested with the developed ontology.

scholarly journals Addressing Semantics Standards for Cloud Portability and Interoperability in Multi Cloud Environment

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 317
Author(s):  
Chithambaramani Ramalingam ◽  
Prakash Mohan
Keyword(s):  
Service Providers ◽  
Research Work ◽  
Cloud Service ◽  
Cloud Services ◽  
Cloud Environment ◽  
Cloud Service Providers ◽  
Application Programming ◽  
Increasing Demand ◽  
Programming Interfaces ◽  
Multi Cloud

The increasing demand for cloud computing has shifted business toward a huge demand for cloud services, which offer platform, software, and infrastructure for the day-to-day use of cloud consumers. Numerous new cloud service providers have been introduced to the market with unique features that assist service developers collaborate and migrate services among multiple cloud service providers to address the varying requirements of cloud consumers. Many interfaces and proprietary application programming interfaces (API) are available for migration and collaboration services among cloud providers, but lack standardization efforts. The target of the research work was to summarize the issues involved in semantic cloud portability and interoperability in the multi-cloud environment and define the standardization effort imminently needed for migrating and collaborating services in the multi-cloud environment.

scholarly journals The dogs bark and the circus moves on

2015 ◽  
Vol 28 (1/2) ◽  
pp. 7-18
Author(s):  
John D Robinson
Keyword(s):  
Digital Library ◽  
Capital Investment ◽  
Service Providers ◽  
Cloud Services ◽  
Bottom Line ◽  
Content Type ◽  
Full Responsibility ◽  
Managed Services ◽  
Library Function ◽  
The Uk

Purpose – The paper aims to set out challenges that libraries face while developing their Digital Library capabilities and capacity and propose an approach to estimating the costs for these functions. There is a skills challenge as well as an organisational challenge. The opportunities to build new teams or re-train existing staff are discussed. Design/methodology/approach – The approach builds on a 2008 paper about Digital Library economics and discusses the changes in the environment since then. A model is described in which a library takes on the full responsibility for building and operating a Digital Library function in-house. This is used to benchmark other options such as managed services, outsourced infrastructure and “cloud” services. Findings – The Open Access Publication and Research Data Management mandates present challenges to all libraries based in academic institutions in the UK. New working methods and new costs are unavoidable. There are a number of ways to deal with this depending upon the institutional circumstance. The bottom line can be increases in revenue budgets of around 10 per cent with variable requirements for capital investment. Originality/value – Libraries and librarians have different experiences in closely working with colleagues in information technology (IT). A number of propositions are presented about the value of cooperation and collaboration between library and IT and also with external partners and service providers.

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